This course covers the learning outcomes and goals of understanding Big O notation and time complexity of algorithms in data structures. It aims to teach Algorithm analysis, Asymptotic Algorithm Analysis, the importance of algorithm analysis, and how to calculate Big O complexity. The course teaches skills such as analyzing algorithms, understanding Big O notation, and calculating time complexity. The teaching method includes theoretical explanations, practical examples, and coding exercises. The intended audience for this course includes students, programmers, and anyone interested in algorithm analysis and data structures.
What Is Big O Notation and Time Complexity of Algorithms - Algorithm Analysis in Data Structures
Overview
Syllabus
Introduction
What is Algorithm Analysis
What is Better Algorithm
Asymptotic Analysis
Practical Example
Algorithm Analysis
Coding
Big O Notation
Taught by
Simple Snippets
